A posture measuring device, an intelligent cushion and an intelligent seat are disclosed. The sitting posture measuring device comprises two fiber optic sensors; a signal processing unit electrically connected to the two fiber optic sensors respectively; and a power supply unit electrically connected to the signal processing unit. The sitting posture measuring device further comprises a prompting unit and/or a wireless communications unit electrically connected to the signal processing unit. The two fiber optic sensors are configured from left to right or from front to back. The fiber optic sensors detect changes in optical signals generated from changes in surface pressure on the sensors, and the signal processing unit analyzes a posture of a user on the basis of changes in optical signals generated from changes in surface pressure on the sensors.

Described herein is a system and method for ergonomic analysis including a sensorized glove having an inner glove including a plurality of extensometer sensors for detecting relative movements between parts of a worker's hand, and an outer glove including a plurality of pressure sensors distributed over a palmar surface and for detecting pressure exerted in corresponding areas of said palmar surface; a wearable network of sensors being located in the network so that they can be associated to corresponding joints of the human body; a unit for generating a sequence of images of a worker task; and a processing unit for receiving data and/or signals from the sensorized glove, from the wearable sensor network, and/or from the unit, and configured for processing said data and/or signals to estimate ergonomic indicators and/or to obtain local information of effort and/or posture.

A computer access control system includes a client electronic device configured to administer an alertness test to a user. A computer access controller is coupled to and configured to be actuated by the client electronic device.

A method, computer program product, and computing system for administering an alertness test on a client electronic device to determine a result for a user, wherein the result is indicative of a level of alertness of the user. A location of the client electronic device is determined, thus defining a determined location. Remedial action is taken if the level of alertness of the user is insufficient for the user to perform a task at the determined location.

A calculation device, a calculation method, and a non-transitory computer readable recording medium including a calculation program with which a length of a target region required for a body model can be determined by means of a simple motion are provided. This calculation device configures a wearable device to initiate measurement of a measurement target region. After the measurement of the measurement target region is initiated, a worker wearing the wearable device performs a motion such as rotation of an arm, for example, etc. The calculation device acquires measured information two or more times over time and calculates a body model on the basis of the acquired measured information. During calculation of the body model, calculation is performed to determine a length of a calculation target region by approximately determining a circle or sphere having the length from the rotation center to the calculation target region as a radius using a mathematical method such as a least-squares method on the basis of the measured information acquired over time. Then, the calculation device records the calculated body model in a body model recording unit.

A helmet includes a non-contact sensor for a living body, a cap body, and a headband attached to an inner side of the cap body. The headband is provided with a first projection and a second projection on a surface facing a front head portion (FD) of the cap body. The non-contact sensor for the living body includes a first housing having a first surface and a second surface opposing the first surface, a first claw portion provided on the first surface, and a second claw portion provided on the second surface. The first claw portion is brought into contact with and fixed to the first projection, and the second claw portion is brought into contact with and fixed to the second projection.

A method using a medical apparatus includes attaching a cylindrical sleeve to a respiratory tube insertion tool, the sleeve with a distal end affixed to an outward-facing illumination device and a corresponding forward-facing imaging device, the sleeve including an open proximal end connecting a tubular cavity to an outer space, the open proximal end to slidingly receive therethrough a distal end of the insertion tool; including an inner surface around the tubular cavity configured to slide over and removably affix itself to the distal portion of the insertion tool. The method includes inserting the insertion tool with the attached sleeve into an airway of a human subject, transmitting images of the airway acquired by the imaging device to a remote device for displaying, displaying the images of the airway on the remote display device, and positioning the insertion tool with the attached sleeve inside the airway based on the images.

Provided are systems and methods for integrated control and safety systems (ICSSs) that employ intelligent personal protective equipment (PPE). In some embodiments, an industrial plant system includes an industrial safety system (ISS) for monitoring a safety status of an industrial plant and one or more intelligent PPE systems worn by personnel located in the industrial plant. Each of the intelligent PPE systems includes one or more intelligent PPE devices for sensing personal and environmental characteristics of a person wearing the intelligent PPE system, and transmits safety data corresponding to the personal and environmental characteristics sensed. The ISS collects the safety data, determines (based on the safety data) whether a safety incident has occurred and, in response to determining that a safety incident has occurred, executes a response to the safety incident.

A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

Systems and methods are discussed for providing sensor enhanced safety, recovery, and activity evaluation systems. Sensors that monitor user activity and behavior are worn by a user and/or placed in the user environment. Data from the sensors are processed to obtain a safety, recovery, and/or activity evaluation. Based on the evaluation, recommendations or adjustments to the terms of an insurance policy covering the user, the user's employer, or a facility providing health care to the user, are generated, to accurately reflect the risks associated with the user, employer, and/or facility. In embodiments, an alert may be generated when a failure to conform with activity guidelines is detected.